Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Predicting the conversion time from normal cognition to mild cognitive impairment based on dual attention convolutional networks.

Journal of Alzheimer's disease : JAD·2025
Same author

Blockchain-Facilitated Cybersecurity for Ubiquitous Internet of Things with Space-Air-Ground Integrated Networks: A Survey.

Sensors (Basel, Switzerland)·2025
Same author

A Survey on Autism Care, Diagnosis, and Intervention Based on Mobile Apps Focusing on Usability and Software Design.

Sensors (Basel, Switzerland)·2023
Same author

Kernel Mixture Correntropy Conjugate Gradient Algorithm for Time Series Prediction.

Entropy (Basel, Switzerland)·2020
Same author

Resource Allocation in the Cognitive Radio Network-Aided Internet of Things for the Cyber-Physical-Social System: An Efficient Jaya Algorithm.

Sensors (Basel, Switzerland)·2018
Same author

Improving Classification Performance through an Advanced Ensemble Based Heterogeneous Extreme Learning Machines.

Computational intelligence and neuroscience·2017
Same journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026
Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026
Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026
Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026
Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026
Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

Entropy (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Nov 3, 2025

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

43.0K

A Hybrid Rao-NM Algorithm for Image Template Matching.

Xinran Liu1,2,3, Zhongju Wang1,2,3, Long Wang1,2,3

  • 1School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China.

Entropy (Basel, Switzerland)
|June 2, 2021
PubMed
Summary
This summary is machine-generated.

A novel hybrid Rao-Nelder-Mead (Rao-NM) algorithm enhances image template matching. This approach combines global and local search for faster, more accurate results, outperforming existing methods.

Keywords:
Rao algorithmcomputational intelligenceimage matchingoptimization

More Related Videos

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
10:14

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Published on: September 2, 2020

5.2K
MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as A Novel Detection and Quantification Method
09:06

MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as A Novel Detection and Quantification Method

Published on: October 7, 2025

88

Related Experiment Videos

Last Updated: Nov 3, 2025

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

43.0K
Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
10:14

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Published on: September 2, 2020

5.2K
MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as A Novel Detection and Quantification Method
09:06

MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as A Novel Detection and Quantification Method

Published on: October 7, 2025

88

Area of Science:

  • Computer Vision
  • Optimization Algorithms
  • Image Processing

Background:

  • Image template matching is crucial for object recognition and localization.
  • Existing algorithms face challenges in balancing speed, accuracy, and global convergence.
  • Hybrid approaches offer potential for improved performance.

Purpose of the Study:

  • To introduce a hybrid Rao-Nelder-Mead (Rao-NM) algorithm for enhanced image template matching.
  • To leverage the strengths of both Rao-1 and Nelder-Mead algorithms.
  • To improve computational efficiency and matching accuracy.

Main Methods:

  • A serial integration of the Rao-1 algorithm (global search) and the Nelder-Mead (NM) algorithm (local search).
  • The hybrid Rao-NM algorithm is evaluated on four standard optimization problems and three image datasets.
  • Performance is benchmarked against the generic Rao-1 algorithm, Particle Swarm Optimization (PSO), and Genetic Algorithm (GA).

Main Results:

  • The proposed Rao-NM algorithm demonstrates significant improvements in matching accuracy.
  • The hybrid approach substantially reduces computation time compared to benchmark algorithms.
  • Global convergence is ensured while achieving high-quality optimal solutions.

Conclusions:

  • The hybrid Rao-NM algorithm is an effective and efficient solution for image template matching problems.
  • Combining global and local search strategies provides superior performance.
  • This method offers a promising advancement in image processing and computer vision applications.